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    Signorini, Alessandro

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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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    Modello di stima dei costi sanitari e della capacity delle terapie intensive in Italia nel trattamento di pazienti affetti da COVID-19: valutazione dell’impatto di remdesivir

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    Introduction: Coronavirus disease 2019 (COVID-19) is caused by a severe acute respiratory syndrome coronavirus 2, which is a human coronavirus responsible for a pandemic. Direct interventions, i.e. physical distancing and use of protective devices, can prevent or limit contagions, however, it is also required to evaluate the optimization of limited resources, such as the Intensive Care Unit (ICU). For this purpose, it is relevant to estimate the impact of therapeutic solutions that reduce the probability that the patient transits to ICU in symptomatic subjects and in need of hospitalization. The therapeutic solutions allow a more rapid recovery of the patient and save scarce resources that can be used in the treatment of other patients. Methods: A forecasting model is designed to estimate the impact of one therapeutic solution, i.e. the antiretroviral Remdesivir, on both the capacity of intensive care and the healthcare costs for hospitals when managing the current emergency. A base case is presented as well as a best and a worst case scenario deriving from the sensitivity analyses. Results: The introduction of Remdesivir in patients receiving low-flow oxygen therapy with the purpose of reducing ICU accesses and deaths leads to 431 million euros cost savings and avoids 17,150 hospitalizations in intensive care and 6,923 deaths. In the best case, 294 million euros savings are estimated, whilst in the worst case the model estimates a saving of 512 million euros. Conclusions: Remdesivir has the potential to reduce the negative effects of the Coronavirus disease, improving patient conditions and reducing death tolls, and can also save scarce healthcare resources during this pandemic, resulting in a shorter hospital stay and fewer ICU admissions

    Hybrid Raman/Brillouin-optical-time-domain-analysis-distributed optical fiber sensors based on cyclic pulse coding

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    We experimentally demonstrate the use of cyclic pulse coding for distributed strain and temperature measurements in hybrid Raman/Brillouin optical time-domain analysis (BOTDA) optical fiber sensors. The highly integrated proposed solution effectively addresses the strain/temperature cross-sensitivity issue affecting standard BOTDA sensors, allowing for simultaneous meter-scale strain and temperature measurements over 10 km of standard single mode fiber using a single narrowband laser source only
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